FLASH_CAQR_UT_inc_create_hier_matrices.c File Reference

(r)

Functions
FLA_Error	FLASH_CAQR_UT_inc_create_hier_matrices (dim_t p, FLA_Obj A_flat, dim_t depth, dim_t *b_flash, dim_t b_alg, FLA_Obj *A, FLA_Obj *ATW, FLA_Obj *R, FLA_Obj *RTW)
FLA_Error	FLASH_CAQR_UT_inc_adjust_views (FLA_Obj A, FLA_Obj TW)
dim_t	FLASH_CAQR_UT_inc_determine_alg_blocksize (FLA_Obj A)

Function Documentation

FLASH_CAQR_UT_inc_adjust_views()

FLA_Error FLASH_CAQR_UT_inc_adjust_views	(	FLA_Obj	A,
		FLA_Obj	TW
	)

{
    dim_t b_flash;
    dim_t n, n_last;
 
    // We can query b_flash as the width of the top-left element of TW.
    b_flash = FLASH_Obj_scalar_width_tl( TW );
 
    // Query the element (not scalar) n dimension of A.
    n = FLA_Obj_width( A );
 
    // If the bottom-right-most block along the diagonal is a partial block,
    // adjust the view of the corresponding T block.
    n_last = FLASH_Obj_scalar_width( A ) % b_flash;
 
    if ( n_last > 0 )
    {
        FLA_Obj  TWTL, TWTR,
                 TWBL, TWBR;
        FLA_Obj  TWL,  TWR;
        FLA_Obj  TWT,  TW0,
                 TWB,  TW1,
                       TW2;
        FLA_Obj* TW1p;
 
        FLA_Part_2x2( TW,    &TWTL, &TWTR,
                             &TWBL, &TWBR,    n-1, n-1, FLA_TL );
 
        FLA_Part_2x1( TWBR,    &TWT,
                               &TWB,     0, FLA_TOP );
 
        while ( FLA_Obj_length( TWB ) > 0 )
        {
            FLA_Repart_2x1_to_3x1( TWT,                &TW0, 
                                /* *** */            /* *** */
                                                       &TW1, 
                                   TWB,                &TW2,        1, FLA_BOTTOM );
 
            // -----------------------------------------------------------
 
            TW1p = FLASH_OBJ_PTR_AT( TW1 );
 
            FLA_Part_1x2( *TW1p,   &TWL, &TWR,    n_last, FLA_LEFT );
 
            *TW1p = TWL;
            TW1p->m_inner = TW1p->m;
            TW1p->n_inner = TW1p->n;
 
            // -----------------------------------------------------------
 
            FLA_Cont_with_3x1_to_2x1( &TWT,                TW0, 
                                                           TW1, 
                                    /* *** */           /* *** */
                                      &TWB,                TW2,     FLA_TOP );
        }
    }
       
    return FLA_SUCCESS;
}

References FLA_Cont_with_3x1_to_2x1(), FLA_Obj_length(), FLA_Obj_width(), FLA_Part_1x2(), FLA_Part_2x1(), FLA_Part_2x2(), FLA_Repart_2x1_to_3x1(), FLASH_Obj_scalar_width(), FLASH_Obj_scalar_width_tl(), and i.

Referenced by FLASH_CAQR_UT_inc_create_hier_matrices().

FLASH_CAQR_UT_inc_create_hier_matrices()

FLA_Error FLASH_CAQR_UT_inc_create_hier_matrices	(	dim_t	p,
		FLA_Obj	A_flat,
		dim_t	depth,
		dim_t *	b_flash,
		dim_t	b_alg,
		FLA_Obj *	A,
		FLA_Obj *	ATW,
		FLA_Obj *	R,
		FLA_Obj *	RTW
	)

{
    FLA_Datatype datatype;
    dim_t        m, n;
    dim_t        nb_part;
    
    // *** The current CAQR_UT_inc algorithm implemented assumes that
    // the matrix has a hierarchical depth of 1.
    if ( depth != 1 )
    {
       FLA_Print_message( "FLASH_CAQR_UT_inc() currently only supports matrices of depth 1",
                          __FILE__, __LINE__ );
       FLA_Abort();
    }
 
    // Create hierarchical copy of matrix A_flat.
    FLASH_Obj_create_hier_copy_of_flat( A_flat, depth, b_flash, A );
 
    // Create hierarchical copy of matrix A_flat.
    FLASH_Obj_create_conf_to( FLA_NO_TRANSPOSE, *A, R );
 
    // Query the datatype of matrix A_flat.
    datatype = FLA_Obj_datatype( A_flat );
    
    // If the user passed in zero for b_alg, then we need to set the
    // algorithmic (inner) blocksize to a reasonable default value.
    if ( b_alg == 0 )
    {
        b_alg = FLASH_CAQR_UT_inc_determine_alg_blocksize( *A );
    }
 
    // Query the element (not scalar) dimensions of the new hierarchical
    // matrix. This is done so we can create T with full blocks for the
    // bottom and right "edge cases" of A.
    m = FLA_Obj_length( *A );
    n = FLA_Obj_width( *A );
 
    // Create hierarchical matrices T and W for both A and R. T is lower
    // triangular where each block is b_alg-by-b_flash and W is strictly
    // upper triangular where each block is b_alg-by-b_flash. So we can
    // create them simultaneously as part of the same hierarchical matrix.
    FLASH_Obj_create_ext( datatype, m * b_alg, n * b_flash[0], 
                          depth, &b_alg, b_flash, 
                          ATW );
    FLASH_Obj_create_ext( datatype, m * b_alg, n * b_flash[0], 
                          depth, &b_alg, b_flash, 
                          RTW );
 
    // If the bottom-right-most block along the diagonal is a partial block,
    // adjust the view of the corresponding T block.
    FLASH_CAQR_UT_inc_adjust_views( *A, *ATW );
    FLASH_CAQR_UT_inc_adjust_views( *A, *RTW );
 
    // Compute the partition length from the number of partitions.
    nb_part = FLA_CAQR_UT_inc_compute_blocks_per_part( p, *A );
 
    // Encode block structure (upper tri, full, or zero) into blocks of R.
    FLA_CAQR_UT_inc_init_structure( p, nb_part, *R );
 
    return FLA_SUCCESS;
}

References FLA_Abort(), FLA_CAQR_UT_inc_compute_blocks_per_part(), FLA_CAQR_UT_inc_init_structure(), FLA_Obj_datatype(), FLA_Obj_length(), FLA_Obj_width(), FLA_Print_message(), FLASH_CAQR_UT_inc_adjust_views(), FLASH_CAQR_UT_inc_determine_alg_blocksize(), FLASH_Obj_create_conf_to(), FLASH_Obj_create_ext(), FLASH_Obj_create_hier_copy_of_flat(), and i.

FLASH_CAQR_UT_inc_determine_alg_blocksize()

dim_t FLASH_CAQR_UT_inc_determine_alg_blocksize

(

FLA_Obj

A

)

{
    dim_t b_alg;
    dim_t b_flash;
 
    // Acquire the storage blocksize.
    b_flash = FLA_Obj_length( *FLASH_OBJ_PTR_AT( A ) );
 
    // Scale the storage blocksize by a pre-defined scalar to arrive at a
    // reasonable algorithmic blocksize, but make sure it's at least 1.
    b_alg = ( dim_t ) max( ( double ) b_flash * FLA_CAQR_INNER_TO_OUTER_B_RATIO, 1 );
 
    return b_alg;
}

References FLA_Obj_length(), and i.

Referenced by FLASH_CAQR_UT_inc_create_hier_matrices().